An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 131-171
Keyword(s):  
Mathematical Model ◽  
Human Resources ◽  
Management System ◽  
Enterprise Architecture ◽  
Business Case ◽  
Knowledge Management System ◽  
Development Environment ◽  
Business Transformation ◽  
Decision Making System ◽  
Profile Management

The HMM application for manager's profile management uses a natural language development environment and for that goal the authors propose to use the holistic profile management system (HPMS) that can be used, for example, by the enterprise's human resources. The HPMS activities are supported by a central decision-making system (DMS), knowledge management system (KMS), and an enterprise architecture project (EAP). The proof of concept (PoC) is based on a business case from the insurance domain, where the central point is the capacity of the selected manager profile to successfully start and finalize a BTP or an EAP (or simply a project).

The Business Transformation and Enterprise Architecture Framework

2020 ◽  
pp. 304-339
Author(s):  
Antoine Trad
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Enterprise Architecture ◽  
Selection Process ◽  
Business Case ◽  
Knowledge Management System ◽  
Business Transformation ◽  
Architecture Framework ◽  
Decision Making System ◽  
Enterprise Architecture Framework

The HSD&E activities are supported by a central decision-making system (DMS) (in which a HR subsystem is included), knowledge management system (KMS), and an enterprise architecture project (EAP). The chapter's proof of concept (PoC) is based on a business case from the insurance domain where the central point is the capacity of the selected manager skillset to successfully start and finalize a BTP or an EAP (or simply a project). The PoC shows the selection process of a manager's skillset to transform the traditional insurance enterprise into an agile and automated enterprise. Projects are managed by managers, who are (or should be) supported by a methodology and a framework that can estimate the risks of failure of a project; at the same time, they should be capable of managing the implementation project processes.

An Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 248-297
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Enterprise Architecture ◽  
Business Case ◽  
Transformation Process ◽  
Business Enterprise ◽  
Proof Of Concept ◽  
Implementation Phase ◽  
Business Transformation ◽  
Decision Making System

The authors propose to use the holistic business system's risk assertion (HBSRA). The HBSRA supports a central decision-making system (DMS), projects, and enterprise architecture projects (EAP). The proof of concept (PoC) is based on applied business case from the insurance domain, where the central point is the transformation process of a traditional insurance enterprise into an agile and automated business enterprise. Such projects are managed by business transformation managers (manager or simply managers) who are supported with a methodology and a framework that can support and estimate the risks of implementation of projects. The manager is responsible for the implementation of the complex background of projects and during its implementation phase.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture Projects

2020 ◽  
pp. 211-247
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Knowledge Management ◽  
Enterprise Architecture ◽  
Real Life ◽  
Knowledge Management System ◽  
Complex Case ◽  
Avant Garde ◽  
Business Transformation ◽  
Implementation Model

This chapter presents the holistic and dynamic knowledge management system (H&DKMS) concept that is implemented in a proof of concept to prove the feasibility of the chapter using the book's HMM approach. The H&DKMS supports business transformation projects (BTP) and enterprise architecture projects (EAP) (simply project). The H&DKMS is supported mainly by an adopted fictious case from the insurance domain. The uniqueness of the proposed HMM promotes a holistic architecture and implementation model that supports complex case studies. The integrated knowledge management and decision-making process are used in a day-to-day business and technology problems solving. In this chapter, the proposed solution (or model) is supported by a real-life case of business transformation methodology in the domain of H&DKMS that in turn is based on the alignment of various standards and avant-garde methodologies.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 103-130
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Development Project ◽  
Advanced Mathematics ◽  
Development Environment ◽  
Business Transformation ◽  
Natural Language Programming ◽  
High Level ◽  
Transformation Processes

The HMM research and development project concept (RDPC) uses factor-driven research and reasoning concept that is supported by a behaviour-driven development environment or a natural language programming that can be easily adopted by any RDPC, where the HMM framework offers such a high level factors editing their logic implementation environment that it can be used by any RDPC researchers without any prior knowledge in computer sciences, technical, or even advanced mathematics. The RDPC is a meta-model that can be used for research topics on enterprise architecture, business transformation or decision-making systems, mathematical models-algorithms. It is supported by many real-life cases. The uniqueness of this RDPC also promotes the future transformation project's unbundling and the alignment of various enterprise resources including services, architecture standards, and strategies to support business transformation processes as the first.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 502-538
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Technology Standards ◽  
Resources Management ◽  
Avant Garde ◽  
Business Transformation ◽  
Implementation Model ◽  
Complex Projects ◽  
Decision Making System

The RMSPoC supports business transformation projects (BTP) and enterprise architecture projects (EAP) (or simply projects). This chapter is supported mainly by an adapted fictitious case from the insurance domain. The uniqueness and market lead of the authors' proposed HMM promotes a holistic cohesive enterprise architecture and implementation model that supports complex projects integrations using PoC, in this case the RMSPoC. The intelligent resources management system (RMS), which is described in a separate chapter, and decision-making system (DMS) are used in day-to-day business and technology problem solving. In this chapter, the proposed solutions (or cluster's model) are supported by a real-life case of a project methodology in the domain of resources management that in turn is based on the alignment of various business and technology standards and avant-garde methodologies.

An Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 67-102
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Success Factors ◽  
Enterprise Architecture ◽  
Development Environment ◽  
Business Transformation ◽  
Critical Success ◽  
Development Teams ◽  
Integrating Factors ◽  
Levels Of Integration

The original HMM uses a natural language- or behaviour-driven development environment that can be adopted by development teams by using and integrating factors' categories in their system; that is why the authors propose the use of the holistic critical success factors management system (HCSFMS), and they implement a proof of concept (PoC) to prove this chapter's concept feasibility and levels of integration risks. The HCSFMS supports decision-making systems (DMS), business transformation projects, and enterprise architecture projects (EAP) (or simply the project). The PoC is based on a fictious case from the insurance domain.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 464-501
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Technology Standards ◽  
Business Transformation ◽  
Business Architecture ◽  
Implementation Model ◽  
Design And Implementation ◽  
Complex Projects ◽  
Decision Making System

This chapter is supported mainly by an adapted fictitious case from the insurance domain. The uniqueness and market lead of the authors' proposed HMM promotes a holistic cohesive enterprise architecture, design, and implementation model that supports complex projects integrations using a targeted PoC, in this case the EAP4PoC. The adaptable management system (aMS), which is described in a separate chapter, and decision-making system (DMS) are used in day-to-day business, architecture, and technology problem-solving activities. In this chapter, the proposed solutions are supported by a real-life case of a project methodology in the domain of enterprise architecture that in turn is based on the alignment of various business, architecture, and technology standards.

Applied Mathematical Model for Business Transformation Projects

2020 ◽  
pp. 269-308
Author(s):  
Antoine Trad
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Success Factors ◽  
Enterprise Architecture ◽  
Holistic Approach ◽  
Implementation Phase ◽  
Business Transformation ◽  
Critical Success ◽  
Decision Making System ◽  
Specific Implementation

In this chapter, the authors present an applied holistic mathematical model for business transformation (AHMM)-specific implementation for supporting an intelligent strategic decision making system (iSDMS) that is based on the management and evaluation of critical success factors (CSF). The AHMM-based iSDMS is based on a unique mixed research method that is supported by a mainly the author's qualitative research module, where the main goal is to insure long-term strategic business competitive advantage. An adapted AHMM for iSDMSs uses a natural programming language (NLP) environment and CSFs to model iSDMS. The iSDMS is based on a central reasoning engine and a distributed enterprise architecture project's (EAP) paradigm. This chapter's experiment is based on a proof of concept (PoC), which presents a concrete transformation decision making case, where the central point is the transformation of an information system. Such an iSDMS is managed by an iSDMS transformation manager(s) (iSDMSTM); it uses a methodology and a framework that can support and estimate the risks of implementation of an iSDMS and then uses it to solve problems. The iSDMSTM is responsible for the implementation of the complex iSDMSs, where during its implementation phase, the chosen transformation framework supports the iSDMSTM in a just-in-time manner. The “I” or “i” prefix does not stand just for the vulgare urban and siloed business and technical environments but for a distributed and holistic approach to transform complex business and technical systems.

A Holistic Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 298-339
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Language Development ◽  
Enterprise Architecture ◽  
Transformation Process ◽  
Business Transformation ◽  
Intelligent City ◽  
Decision Making System ◽  
Intelligent Cities ◽  
The City

The HMM for intelligent cities transformation projects (iCTP) (or simply projects) uses a natural language development (and simulation) environment that can be adopted by any project and for that goal the authors propose to use the holistic intelligent cities design concept (HICDC). The HICDC is supported by a central decision-making system (DMS) and enterprise architecture (sub)projects (EAP). The proof of concept (PoC) is based on the resources collected on the city of Beirut, capital of Lebanon, where the central point is the transformation process of a war-torn city into a modern, agile (relatively, in respect to the region), civilized, and automated intelligent city. Such projects are managed by intelligent city transformation managers (iCTM).

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 172-210
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Research Method ◽  
Enterprise Architecture ◽  
Financial Analysis ◽  
Applied Mathematics ◽  
Decision Making System ◽  
Information And Communication ◽  
Software Modelling ◽  
Business Engineering

This chapter proposes a cross-business domain holistic mathematical model (HMM) that is the result of a lifetime of research on business transformations, applied mathematics, software modelling, business engineering, financial analysis, and global enterprise architecture. This research is based on an authentic and proprietary mixed research method that is supported by an underlining mainly qualitative holistic reasoning model module. The proposed HMM formalism attempts to mimic some functions of the human brain, which uses empirical processes that are mainly based on the beam-search, like heuristic decision-making process. The HMM can be used to implement a decision-making system or an expert system that can integrate the enterprise's business, information, and communication technology environments.

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